尚未登入 請由此登入
 
 
 










知識分享平台Eshare檢視資訊View
返回前一頁Back
      [檢舉]

標題Title: Study on online judgement model of boiler combustion stability
作者Authors: 胡育嘉
上傳單位Department: 電機工程系
上傳時間Date: 2011-12-30
上傳者Author: 胡育嘉
審核單位Department: 電機工程系
審核老師Teacher: 邱俊賢
檔案類型Categories: 課堂報告In-class Report
關鍵詞Keyword: fuzzy system
摘要Abstract: The complete coverage path planning algorithm after the order of all cells is gotten. ThisIn this paper, seven parameters were selected as judgement indexes. The model of improved fuzzy neural network and single factor veto has been established that was applied to online judgement of boiler combustion stability. The function of single factor veto can realize judgments when anyone of those factors can determine the stability of boiler combustion, so the judgement model is more ration. Through the neural network learning of the system, the learning samples of module were selected, and the network is trained and verified successfully
is similar to the integrating local sub-area coverage with global planning was traveling salesman problem (TSP). It is a population-based proposed.

檔案名稱
FileName
檔案大小
Size
檔案格式
Format
瀏覽次數
Browses
下載次數
Downloads
2011_12_37cea802.ppt 686Kb ppt 200 21
文件中檔案:
 

開啟檔案Download
 
 
返回前一頁